Mining Huge and Typical Spatial Data Cloud for Managing Compatibility Overheads Caused To the System

Journal Title: International Journal of Engineering and Science Invention - Year 2018, Vol 7, Issue 2

Abstract

Spatial data has a great impact on our daily life. there is a rapid requirement to mine spatial data which is on exponential growth now a day, not only we have to effectively mine spatial data we have to take care of security issues of the system as well. We enumerate security threats on the spatial data cloud and on the system then This paper introduces an interactive framework to mine spatial data as per the requirement of the interacting user on real time spatial data with security measures aspects integration into the system. The framework uses the third party software integration so that all the security protocols will be available for the system which will be vital for better mining scenario.

Authors and Affiliations

Bineet Kumar Gupta, Mohd Haseeb Ahmad

Keywords

Related Articles

Iot Based Remote Health Care Monitoring System Using Wearable Sensor for Tracking Anomalous Situation

Care of critically ill patient with chronological diseases and aging population need to be monitored regularly/periodically, especially if they are living alone. In such scenario, monitoring system plays an important rol...

Heart Disease Detection: A Neural Networks Application

The heart is the most vital organ in the human body. Any heart related disease can be very harmful and can often lead to death if not treated properly in the early stages. Therefore if heart diseases can be diagnosed as...

Modeling And Simulation Of Absorption Rate Of Zinc From Polluted Soil By Bushgreen Roots

The rate of absorption of Zinc by Bushgreen roots was studied. Empirical model was used to model the concentration of Zinc absorbed by Bushgreen roots with time. It was observed that the empirical equation relating the c...

An Approach using Local Information to Build QoS Routing Algorithm

The requirement for quality of service (QoS) is more and more sophisticated, such as the required bandwidth, the value of delay time or packet loss. To assure the network performance, localized QoS routing algorithms hav...

Download PDF file
  • EP ID EP396392
  • DOI -
  • Views 75
  • Downloads 0

How To Cite

Bineet Kumar Gupta, Mohd Haseeb Ahmad (2018). Mining Huge and Typical Spatial Data Cloud for Managing Compatibility Overheads Caused To the System. International Journal of Engineering and Science Invention, 7(2), 35-41. https://europub.co.uk/articles/-A-396392